17ba5d723b
Python rewrite of the agent harness on top of deepagents 0.6.1 + langchain 1.x, replacing the abandoned TS attempt in packages/. 388 unit/integration tests pass. Steps ----- 0. Scaffolding — uv workspace, ruff/mypy/pre-commit/alembic, src/tests/docs trees with docs/schemas/ seeded from my-deepagent-seed/. 1. Core — config (pydantic-settings with MYDEEPAGENT_ env prefix and TOML source), enums (Backend, Capability, RiskLevel, ApprovalDecisionAction, ApprovalState, RunState, RunPhaseState, SessionState, ErrorClass), errors (MyDeepAgentError + BudgetExhaustedError with PEP-3134 cause + context suppression), hash (canonical JSON + sha256). 2. Persona/Workflow/Binding — pydantic v2 schemas with tuple-based deep immutability (post-construction hash drift prevented), YAML loaders, deterministic auto-select (preferred_backends → version → name → hash), override resolution with ineligibility diagnostics, PersonaConsentStore with fcntl.flock + tmp+fsync+rename atomic write. 3. Artifact schema registry — Draft202012Validator, multi-root resolution, structured ValidationFinding output. 4. Persistence — 18 SQLAlchemy 2.0 async ORM models with FK CASCADE/RESTRICT, WAL + busy_timeout + foreign_keys PRAGMA, alembic baseline + ux_active_run_repo_base partial unique index, LangGraph SqliteSaver as context manager only (lifecycle safety). 5. DeepAgent session — build_agent wires Persona → create_deep_agent with LocalShellBackend / FilesystemBackend / StateBackend / CompositeBackend, ChatOpenAI(base_url=openrouter) for openrouter: model strings, and 4 middleware classes (cost / audit-tool / safety-shell / fallback-model). Critical workarounds -------------------- - deepagents 0.6.1 rejects FilesystemPermission together with backends that implement SandboxBackendProtocol (LocalShellBackend). SafetyShellMiddleware enforces destructive-command and secret-path policy at the tool layer instead, and build_agent strips the permissions kwarg when the persona's deepagents_backend is local_shell. - FilesystemOperation in deepagents is Literal['read', 'write'] only; _map_operations collapses our richer schema (read/write/edit/ls) safely. Real OpenRouter smoke --------------------- test_openrouter_deepagents_local_shell_smoke calls DeepSeek via deepagents + LocalShellBackend + SafetyShellMiddleware end-to-end. PASS, ~$0.000001 cost, input=9 / output=1 tokens with content "OK". Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
64 lines
2.2 KiB
YAML
64 lines
2.2 KiB
YAML
name: code-investigation
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version: 1
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description: "코드베이스 탐색 → 요약 보고서 생성. 구조 파악·의존성 분석·이슈 발굴."
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roles:
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- id: explorer
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required_capabilities:
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- evidence_check
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- code_review
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preferred_backends:
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- openrouter
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fallback_personas:
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- "openrouter-claude-code-reviewer@1"
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- "openrouter-deepseek-verifier@1"
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- id: summarizer
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required_capabilities:
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- evidence_check
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- final_report_compose
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preferred_backends:
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- openrouter
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fallback_personas:
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- "openrouter-claude-spec-writer@1"
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phases:
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- key: explore
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title: "코드베이스 탐색 및 정보 수집"
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risk: low
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role: explorer
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expected_artifact:
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path: artifacts/exploration.json
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schema: dev/spec@1
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gates: []
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timeout_seconds: 600
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instructions: |
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코드베이스를 체계적으로 탐색합니다.
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glob으로 전체 파일 구조를 파악하고 read_file로 핵심 파일을 읽습니다.
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grep으로 주요 패턴·의존성·진입점을 검색합니다.
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발견한 내용 (구조, 주요 컴포넌트, 의존성, 잠재적 이슈)을
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dev/spec@1 형식으로 artifacts/exploration.json에 write_file로 저장합니다.
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requirements 필드: 탐색 목적
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approach 필드: 탐색한 파일 목록 및 방법
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acceptance_criteria 필드: 발견한 핵심 사실들
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risks 필드: 발견한 잠재적 이슈들
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max_budget_usd: 0.50
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- key: summarize
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title: "탐색 결과 최종 보고서 작성"
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risk: low
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role: summarizer
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expected_artifact:
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path: artifacts/report.json
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schema: common/final-report@1
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gates:
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- report_approved
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timeout_seconds: 300
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instructions: |
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artifacts/exploration.json을 read_file로 읽고 common/final-report@1 형식으로
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최종 보고서를 작성합니다.
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status: "completed"
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phases: explore와 summarize 단계 정보
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findings: exploration.json의 risks 항목을 finding으로 변환
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artifacts: exploration.json 경로 포함
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보고서를 write_file로 artifacts/report.json에 저장합니다.
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max_budget_usd: 0.30
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default_gates: []
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max_total_budget_usd: 1.0
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